日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

SyscallProvider is a feature available from Windows 11 22H2, that allows for inline hooking of syscalls.
This unfinished research was done on Windows 11 22H2. The feature is fully undocumented at the moment and it looks like it's locked to Microsoft-signed drivers.
All of the information here was gathered by manual reverse engineering of securekernel.exe, skci.dll and ntoskrnl.exe.
The kernel exports three functions to work with the new feature: PsRegisterSyscallProvider, PsQuerySyscallProviderInformation, PsUnregisterSyscallProvider.
This writeup will explore how this feature is initialized, how it works internally, and how to interact with it and use it.

This is an updated fork of this gist.

Logging functionality that supports:

• If a log message should be printed is determined at comptime, meaning zero overhead for unprinted messages (so just leave the code peppered with debug logs, but when it makes sense scope them; so downstream users can filter them out)
• Scoped log messages
• Different log levels per scope
• Overrideable log output (write to file, database, etc.)

https://3.jetbra.in

Please make me a rich, interactive explanation of the specified code change.

It should have these sections:

Consolidated from Anthropic, OpenAI, and community research on autonomous coding agent harnesses.